An Optimization Analysis of the Subject Directory System on the MedlinePlus Portal – An Investigation of Children Related Health Topics

IF 0.6 4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
Yifan Zhu, Jin Zhang
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引用次数: 0

Abstract

In this study, a mixed-methods research approach was employed, integrating social network analysis, descriptive analysis, and inferential statistical analysis to examine the health topic subject directories and the interconnections among health topics within the subject directory system of the MedlinePlus portal. One hundred and fifty-nine health topics related to children’s health as well as 1457 qualified keywords were collected and analyzed. As a result, 184 new connections (140 bidirectional and 44 unidirectional) were proposed to be added to the original subject directory on MedlinePlus. Five new core topics were identified as influential topics in the subject network. This new optimized structural network was proved to be significantly improved from the original one and the importance of the newly identified core topics were verified. The evaluations also included participants containing both medical professionals (2) and medical students (31). The user evaluation results confirmed that the recommendations suggested by this study are solid and effective. The findings of this research would improve the information searching effectiveness for the portal users and offer insights to public health portal creators.
MedlinePlus门户网站主题目录系统的优化分析——儿童健康主题调查
本研究采用混合研究方法,结合社会网络分析、描述分析和推理统计分析,对MedlinePlus门户网站主题目录系统中的健康主题目录和健康主题之间的相互联系进行研究。收集并分析了159个与儿童健康相关的健康话题和1457个符合条件的关键词。结果,184个新连接(140个双向连接,44个单向连接)被提议添加到MedlinePlus上的原始主题目录中。五个新的核心主题被确定为主题网络中有影响力的主题。结果表明,优化后的结构网络比原来的结构网络有了明显的改进,并验证了新识别的核心主题的重要性。评估的参与者还包括医学专业人员(2人)和医学生(31人)。用户评价结果证实了本研究提出的建议是扎实有效的。本研究的结果将提高门户用户的信息搜索效率,并为公共卫生门户的创建者提供见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Knowledge Organization
Knowledge Organization INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
1.40
自引率
28.60%
发文量
7
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